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Lipids Mass Spectral Database

Luigi MondelloMondello Lipids Mass Spectral Database

Full version, ISBN 978-1-119-28938-8

Update, ISBN 978-1-119-28941-8

expected availability: August 2016

Lipids are one of the major constituents of food and they have an essential role in human diet, metabolism, physiological and pathological processes. Mass spectrometry is the most important technology for lipid analysis. The Lipids Mass Spectral Database gives a significant support for peak assignment in complex mixtures and can be a valid support in many research fields, such as food analysis, clinical and medical applications. This Library contains 430 lipid-like molecules. The 11 classes of lipids, including counts for each class are as follows:

    Alkanes: 34
    Fatty Alcohols: 24
    Fatty aldehydes: 48
    Fatty acid ethyl esters: 27
    Fatty acid methyl esters: 199
    Fatty acid trimethyl esters: 14
    Wax monoesters: 64
    Isoprenoids: 2
    Quinones and hydroquinones: 3
    Sterol trimethylsilyl esters: 12
    Sterols: 3

Author Information
Professor Dr. Luigi Mondello is a prominent figure in the flavors and fragrances research industry as the author of Mass Spectra of Pesticides with Retention Indices, Flavors and Fragrances of Natural and Synthetic Compounds, and FAMEs Fatty Acid Methyl Esters: Mass Spectral Database, as well as the Editor of the Journal of Separation Science published by John Wiley & Sons and Editor in Chief of the Journal of Essential Oil Research published by Taylor & Francis. He received a degree in Chemistry from the University of Messina, Italy in 1991 and is now a Full Professor of Analytical Chemistry in the Department of Chemistry Science, Biological Science, Pharmaceutical Science and Environmental Science for the University. Prof. Mondello is currently the author of 292 scientific papers, 63 book chapters, and 25 reviews. His research interests include chromatography techniques and the advancement of coupled techniques such as LC-GC-MS, GC-GC, GCxGC, LCxLC, LCxGC and their applications in the study of natural and synthetic complex matrices.

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